Investigation of regional resilience using spatial analysis and WASPAS hybrid model (Case Study: Townships of Khuzestan Province)

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Natural and human hazards have caused vulnerability and resilience concepts receive much attention. Investigating the vulnerability and resilience of cities and regions shows the readiness and capacity of cities and regions to reduce the effects of disasters. If the situation of the city and the region is high in terms of resilience, Infrastructure, economic and social conditions of the residents have the ability to recover and return faster to a state of equilibrium. Besides, emergency services would be done properly. In this research, resilience was investigated on a regional scale with the purpose of assessment regional resilience dimensions in the townships of Khuzestan province. The research method is analytical-descriptive and in terms of purpose is applied. The data were extracted from the Planning and Budget Organization of Khuzestan Province`s database. The data are divided into economic, social, infrastructural, health, and environmental dimensions and 26 indicators. In order to analyze the data and weigh indices, Shanon entropy was employed. The townships were then ranked by use of WASPAS technique. The results showed that Ahvaz, Dezful, Khorramshahr, Shadegan, Shoosh, Azadegan, Shoshtar, Abadan, Izeh, Ramhormoz, Andimeshk, Behbahan, Baghmalek, Mahshahr, Ramshir, Omidieh, Karoun, Hamidieh, Masjed Soleiman, Bawi, Gotwand, Lali, Hendijan, Indica, Haftkel, Hoveiza, and Aghajari ranked 1st to 27th respectively. Undoubtedly, based on the Khuzestan province`s special position and its multi-cultural aspect, despite its rich natural resources, border situation and putting away the resiliency would result in a big crisis for the whole system. Also, the results showed that Khuzestan province resiliency related to spatial inequality.
Language:
Persian
Published:
Town And Country Planning, Volume:10 Issue: 1, 2018
Pages:
1 to 29
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